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Zitong Huang
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2020 – today
- 2024
- [c5]Zitong Huang, Ze Chen, Yuanze Li, Bowen Dong, Erjin Zhou, Yong Liu, Rick Siow Mong Goh, Chun-Mei Feng, Wangmeng Zuo:
Class Balance Matters to Active Class-Incremental Learning. ACM Multimedia 2024: 9445-9454 - [i9]Zitong Huang, Ze Chen, Zhixing Chen, Erjin Zhou, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Chun-Mei Feng, Wangmeng Zuo:
Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning. CoRR abs/2401.01598 (2024) - [i8]Zitong Huang, Ze Chen, Bowen Dong, Chaoqi Liang, Erjin Zhou, Wangmeng Zuo:
IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasks. CoRR abs/2404.16331 (2024) - [i7]Chaoqi Liang, Guanglei Yang, Lifeng Qiao, Zitong Huang, Hongliang Yan, Yunchao Wei, Wangmeng Zuo:
LayerMatch: Do Pseudo-labels Benefit All Layers? CoRR abs/2406.14207 (2024) - [i6]Yuanyang He, Zitong Huang, Xinxing Xu, Rick Siow Mong Goh, Salman Khan, Wangmeng Zuo, Yong Liu, Chun-Mei Feng:
CPT: Consistent Proxy Tuning for Black-box Optimization. CoRR abs/2407.01155 (2024) - [i5]Zitong Huang, Mansooreh Montazerin, Ajitesh Srivastava:
Simultaneous Weight and Architecture Optimization for Neural Networks. CoRR abs/2410.08339 (2024) - 2023
- [c4]Minheng Ni, Zitong Huang, Kailai Feng, Wangmeng Zuo:
ImaginaryNet: Learning Object Detectors without Real Images and Annotations. ICLR 2023 - 2022
- [j1]Wenxuan Han, Alifu Kuerban, Yuchun Yang, Zitong Huang, Binghui Liu, Jie Gao:
Multi-Vision Network for Accurate and Real-Time Small Object Detection in Optical Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [c3]Zitong Huang, Yiping Bao, Bowen Dong, Erjin Zhou, Wangmeng Zuo:
W2N: Switching from Weak Supervision to Noisy Supervision for Object Detection. ECCV (30) 2022: 708-724 - [i4]Zitong Huang, Yiping Bao, Bowen Dong, Erjin Zhou, Wangmeng Zuo:
W2N: Switching From Weak Supervision to Noisy Supervision for Object Detection. CoRR abs/2207.12104 (2022) - [i3]Minheng Ni, Zitong Huang, Kailai Feng, Wangmeng Zuo:
ImaginaryNet: Learning Object Detectors without Real Images and Annotations. CoRR abs/2210.06886 (2022) - 2021
- [c2]Bowen Dong, Zitong Huang, Yuelin Guo, Qilong Wang, Zhenxing Niu, Wangmeng Zuo:
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters. ICCV 2021: 2856-2865 - [i2]Bowen Dong, Zitong Huang, Yuelin Guo, Qilong Wang, Zhenxing Niu, Wangmeng Zuo:
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters. CoRR abs/2108.01499 (2021) - [i1]Ryan Jacobs, Mingren Shen, Yuhan Liu, Wei Hao, Xiaoshan Li, Ruoyu He, Jacob R. C. Greaves, Donglin Wang, Zeming Xie, Zitong Huang, Chao Wang, Kevin G. Field, Dane Morgan:
Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs. CoRR abs/2110.08244 (2021)
2010 – 2019
- 2011
- [c1]Heshan Guan, Shuliang Zou, Xiaodong Zhou, Zitong Huang:
Research on Coordinated Evaluation of Regional Energy-Economy-Environment System. ICAIC (2) 2011: 593-599
Coauthor Index
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